Dr. Han Xiao

Alumni

E-Mail:	Han Xiao
	now at Zalando, Data Scientist

My research aims at employing geometry and optimization methodologies to analyze the vulnerability of learning algorithms in adversarial settings. The goal is to develop robust learning algorithms that are resilient to adversarial noise.

Also, I maintain an interest in graphical modeling approaches to text mining, information retrieval and computer vision.

>> go to my personal website for more info

Publications

2014		Support Vector Machines under Adversarial Label Contamination
2013		Online Lazy Gaussian Process Committee and its Application in Real-Time Trajectory Prediction
		Efficient Online Sequence Prediction with Side Information
		Lazy Gaussian Process Committee for Real-Time Online Regression
		Learning from Multiple Observers with Unknown Expertise
		OPARS: Objective Photo Aesthetics Ranking System
2012		Adversarial Label Flips Attack on Support Vector Machines
		Evasion Attack of Multi-Class Linear Classifiers
2011		A Supervised Topic Transition Model for Detecting Malicious System Call Sequences
2010		Toward Artificial Synesthesia: Linking Images and Sounds via Words
		Efficient Collapsed Gibbs Sampling For Latent Dirichlet Allocation